/*
 * Encog(tm) Java Examples v3.3
 * http://www.heatonresearch.com/encog/
 * https://github.com/encog/encog-java-examples
 *
 * Copyright 2008-2014 Heaton Research, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *   
 * For more information on Heaton Research copyrights, licenses 
 * and trademarks visit:
 * http://www.heatonresearch.com/copyright
 */
package org.encog.examples.proben;

import org.encog.Encog;
import org.encog.ml.factory.MLMethodFactory;
import org.encog.ml.factory.MLTrainFactory;

public class ProBen {

	public final static String METHOD_NAME = MLMethodFactory.TYPE_FEEDFORWARD;
	public final static String TRAINING_TYPE = MLTrainFactory.TYPE_RPROP;
	public final static String METHOD_ARCHITECTURE = "?:B->RELU->40:B->LINEAR->?";
	public final static String TRAINING_ARGS = "";

	public static void main(String[] args) {
		String probenPath = ProBenData.obtainProbenPath(args);
		
		try {
			EncogBenchmarkDefinition def = new EncogBenchmarkDefinition(
					probenPath, METHOD_NAME, TRAINING_TYPE,
					METHOD_ARCHITECTURE, TRAINING_ARGS);

			ProBenRunner runner = new ProBenRunner(def);
			System.out.println("Starting...");
			runner.run();

			Encog.getInstance().shutdown();

		} catch (Exception ex) {
			ex.printStackTrace();
		}

	}
}
